Reference:
, "Grounding Social Interactions in the Environment", in Danny Weyns, Van Parunak, Fabien Michel, Eds., Environments for Multiagent Systems II, vol. 3830 of Lecture Notes in Artificial Intelligence (LNAI), pp. 139–162, Springer Verlag, March 2006.
Abstract:
While agents and environments are two intimately connected concepts, most approaches for multi-agent development focus on the agent-specific part of the system, whereas the handling of concerns related to the environment is often neglected or delegated to implementation level constructs. In this paper we demonstrate that building on an environment specification with expressive semantics is instrumental in designing agents that are capable of flexible and complex interactions. We propose a modeling approach that allows describing the concrete aspects of a multi-agent system as well as its conceptual and cognitive aspects within a single coherent conceptual framework by grounding all aspects in the environment. This framework enables an efficient development process built around the rapid prototyping and iterative refinement of multi-agent system specifications by applying model-driven design techniques to the system in its entirety.
Links:
@InCollection{FKHG06a_ag,
AUTHOR = {Klein, Florian and Giese, Holger},
TITLE = {{Grounding Social Interactions in the Environment}},
YEAR = {2006},
MONTH = {March},
BOOKTITLE = {Environments for Multiagent Systems II},
VOLUME = {3830},
PAGES = {139--162},
EDITOR = {Weyns, Danny and Parunak, Van and Michel, Fabien},
SERIES = {Lecture Notes in Artificial Intelligence (LNAI)},
PUBLISHER = {Springer Verlag},
URL = {http://www.uni-paderborn.de/cs/ag-schaefer/Veroeffentlichungen/Quellen/Papers/2006/e4mas2005lncs.pdf},
PDF = {e4mas2005lncs.pdf},
ABSTRACT = {While agents and environments are two intimately connected concepts, most approaches for multi-agent development focus on the agent-specific part of the system, whereas the handling of concerns related to the environment is often neglected or delegated to implementation level constructs. In this paper we demonstrate that building on an environment specification with expressive semantics is instrumental in designing agents that are capable of flexible and complex interactions. We propose a modeling approach that allows describing the concrete aspects of a multi-agent system as well as its conceptual and cognitive aspects within a single coherent conceptual framework by grounding all aspects in the environment. This framework enables an efficient development process built around the rapid prototyping and iterative refinement of multi-agent system specifications by applying model-driven design techniques to the system in its entirety.}
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